RuntimeError: tf.placeholder() is not compatible with eager execution

Question

RuntimeError: tf.placeholder() is not compatible with eager execution

Joyce121 opened this issue 2 years ago · 2 comments

Joyce121 commented 2 years ago

When I run the example command

"python motif_extractor.py experiments/nature_genetics_2008/1000_4/CNN/baseline_classification.json"

the RHSNet reported ”RuntimeError: tf.placeholder() is not compatible with eager execution“

Answer 1 · 2022-10-08T13:26:29.000Z

Joyce121 commented 2 years ago

Answer 2 · 2022-10-17T08:41:20.000Z

Dear Joyce,

According to your last issue, I assume that you are using Tensorflow v2.0 and higher,

Assume you are using Tensorflow 2.0 preview release which has eager execution enabled by default. There is a disable_eager_execution() in v1 API, which you can put in the front of your code like:

import tensorflow as tf

tf.compat.v1.disable_eager_execution()

Or, you need to downgrade your Tensorflow version to v1.12 according to README

conda install tensorflow-gpu==1.12.0 keras==2.2.4 cudatoolkit==9.0 cudnn=7.1.2 h5py